Building Information Model Pre-Processing for Automated Geometric Quality Control

Research output: Contribution to conferencePaperpeer-review

Abstract / Description of output

Geometric quality control (QC) in a construction project is an important but time-consuming and not value-adding task. While significant progress is being made in construc-tion digitalisation, geometric QC processes remain highly manual and inefficient. This manuscript proposes a new methodology to pre-process initial information contained in the as-designed Building Information Model ('BIM model' hereafter) and obtain a full list of the geometric QC tasks that need to be conducted over the duration of the corre-sponding construction project. The proposed methodology employ a network graph constructed automatically from the BIM model information; a dictionary of types of geometric QC (e.g. dimensions to be checked with tolerances) that ap-ply to the given project ; and a QC digital manager that ties both elements together and identifies the list of unique geo-metric QC tasks that need to be conducted throughout the given project. The workings of the proposed methodology are illustrated with a case study, for some QC specifications ex-tracted from the EN 13670 standard. These demonstrate its usefulness to exhaustively establish and record all geometric QC tasks required over a project.
Original languageEnglish
Pages17-24
DOIs
Publication statusPublished - 13 Jul 2022
EventInternational Symposium for Automation and Robotics in Construction - Bogota, Colombia
Duration: 12 Jul 202215 Jul 2022
Conference number: 39
https://evento.uniandes.edu.co/en/isarc2022/Home

Conference

ConferenceInternational Symposium for Automation and Robotics in Construction
Abbreviated titleISARC
Country/TerritoryColombia
CityBogota
Period12/07/2215/07/22
Internet address

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